It's simple to control the trajectory of a basketball. It is more difficult to control the movement of quantum systems such as atoms and electrons, as they are often knocked off their path in unpredictable ways. The movement of the system degrades and noise from the environment disturbs it.
A way to counteract the noise is to use a stabilizing pulse of light. Researchers from the Okinawa Institute of Science and Technology (OIST) in Japan have shown that artificial intelligence can be used to find and cool micro-mechanical objects. Their research was published in physical review research.
Micro-mechanical objects, which are large compared to an atom or electron, behave classically when kept at a high temperature. Physicists call the ground state, which is the lowest energy state, the quantum state. As well as for quantum information processing and computing, these types of mechanical modes can be used.
"Technologies built from quantum systems offer immense possibilities, but to benefit from their promise for ultraprecise sensor design, high-
The machine learning-based method that she and her colleagues designed shows how artificial controllers can be used to discover pulse sequence that can cool a mechanical object from high to ultracold temperatures faster than other standard methods. The control pulse are discovered by the machine learning agent Artificial machine intelligence can be used to develop quantum technologies.
The use of quantum computing could change the world. Big-tech companies such as IBM and Google are investing a lot of resources in the development of new technologies. Researchers need to achieve complete control over the operation of quantum systems so that they can eliminate the effects of noise and damping.
Artificial intelligence controllers have shown promise in stabilizing a quantum system by controlling it fast. A breakthrough in the field of high-speed quantum computing could be achieved with our proposed method of quantum control using an artificial intelligence controller. Many quantum researchers will be attracted to such methods.
There is more information regarding Accelerated motional cooling with deep reinforcement learning. There is a book titled "PhysRevResearch.4.L042038."